Robust normalization of silhouettes for recognition applications

Authors:
Javier Cortadellas;Josep Amat;Fernando de la Torre
Affiliations:
Department of Electronics, La Salle School of Engineering, Ramon Llull University, Pso. Bonanova 8, 08022 Barcelona, Spain;Department of Automatic Control and Computer Engineering, Polytechnical University of Catalonia, C. Pau Gargallo 5, 08028 Barcelona, Spain;Department of Communications and Signal Theory, La Salle School of Engineering, Ramon Llull University, Pso. Bonanova 8, 08022 Barcelona, Spain
Venue:
Pattern Recognition Letters - Special issue: Discrete geometry for computer imagery (DGCI'2002)
Year:
2004

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Abstract

In this work we introduce a new silhouette normalization method, which is robust with respect to deformations and enables the use of image domain based similarity measures for recognition applications. It is shown that a template matching operation can provide an accurate shortlist of candidates suitable for a more exact matching engine in spite of projective transformations and silhouette deformations. This retrieval of similar shapes has a low computational cost and has been tested with silhouettes of natural and man-made objects.